Product Analytics Lead - AI, Growth & Experiments

Hackerrank; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

HackerRank is seeking a Product Analyst II to own the end-to-end analytics for our products and platforms, spanning AI-powered experiences, developer-facing products, content, and community growth.

You will partner with Product, Engineering, Content, Design, and Marketing to define measurement plans, drive analytics initiatives, and answer what to build, improve, prioritize, or measure next. This role emphasizes hypotheses, experimentation, and actionable insights.

Qualifications

• 3-6 years of experience in product analytics, data science, growth analytics, or related field.
• Advanced SQL skills with event/session/clickstream data.
• Proficiency in Python for analysis and handling large datasets.
• Strong foundation in statistics: hypothesis testing, confidence intervals, significance, power analysis, regression, causal inference.
• Understanding funnels, cohort analysis, segmentation, retention, experimentation, feature adoption.

Responsibilities

• Own analytics for next-generation product areas (AI, content, platform, growth).
• Define and evolve metrics across adoption, engagement, retention, satisfaction, usability, and customer value.
• Analyze customer and developer journeys, segments, and feature-level behavior to identify opportunities and friction points.
• Evaluate content quality, AI-powered experiences, and platform adoption.
• Partner with product, engineering, content, design, and marketing to define measurement plans and success criteria.
• Drive experimentation from hypotheses to design, interpretation, and recommendations.

Skills

SQL

Python

Statistics

Experimentation

Causal inference

Cohort analysis

Job description

HackerRank is seeking a Product Analyst II to own the end-to-end analytics for our products and platforms, spanning AI-powered experiences, developer-facing products, content, and community growth.

You will partner with Product, Engineering, Content, Design, and Marketing to define measurement plans, drive analytics initiatives, and answer what to build, improve, prioritize, or measure next. This role emphasizes hypotheses, experimentation, and actionable insights.